{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### HuggingFace 🤗 : `Datasets`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install dadasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from datasets import list_datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# list all datasets\n",
    "all_datasets = list_datasets()\n",
    "\n",
    "wordcloud = WordCloud(width=800, height=400)\n",
    "wordcloud.generate(\" \".join(all_datasets))\n",
    "\n",
    "# show the wordcloud\n",
    "plt.imshow(wordcloud)\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of datasets currently available: 15516\n",
      "Here are the first 5: ['acronym_identification', 'ade_corpus_v2', 'adversarial_qa', 'aeslc', 'afrikaans_ner_corpus', 'ag_news', 'ai2_arc', 'air_dialogue', 'ajgt_twitter_ar', 'allegro_reviews', 'allocine', 'alt', 'amazon_polarity', 'amazon_reviews_multi', 'amazon_us_reviews', 'ambig_qa', 'americas_nli', 'ami', 'amttl', 'anli']\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of datasets currently available: {len(all_datasets)}\")\n",
    "print(f\"Here are the first 5: {all_datasets[:20]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "🔴 Loading a Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datasets import load_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Found cached dataset emotion (/Users/pachaar/.cache/huggingface/datasets/emotion/default/0.0.0/348f63ca8e27b3713b6c04d723efe6d824a56fb3d1449794716c0f0296072705)\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bc3c72eccaa34b3f8030df5e3d895215",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "DatasetDict({\n",
       "    train: Dataset({\n",
       "        features: ['text', 'label'],\n",
       "        num_rows: 16000\n",
       "    })\n",
       "    validation: Dataset({\n",
       "        features: ['text', 'label'],\n",
       "        num_rows: 2000\n",
       "    })\n",
       "    test: Dataset({\n",
       "        features: ['text', 'label'],\n",
       "        num_rows: 2000\n",
       "    })\n",
       "})"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we will load the tweet emotions dataset\n",
    "emotions = load_dataset(\"emotion\")\n",
    "# emotions is now an instance of Dataset class\n",
    "emotions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['text', 'label']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The trains ds has text and label(emotion) pair\n",
    "train_ds = emotions[\"train\"]\n",
    "train_ds.column_names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each row in the dataset is a dictionary, Datasets is based on <br> Apache arrow format which is more memory efficient, check this 👇 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'text': 'i didnt feel humiliated', 'label': 0}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_ds[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'text': Value(dtype='string', id=None),\n",
       " 'label': ClassLabel(names=['sadness', 'joy', 'love', 'anger', 'fear', 'surprise'], id=None)}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_ds.features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "🔴 Converting Dataset to a DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>im feeling rather rotten so im not very ambiti...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>im updating my blog because i feel shitty</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>i never make her separate from me because i do...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i left with my bouquet of red and yellow tulip...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i was feeling a little vain when i did this one</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0  im feeling rather rotten so im not very ambiti...      0\n",
       "1          im updating my blog because i feel shitty      0\n",
       "2  i never make her separate from me because i do...      0\n",
       "3  i left with my bouquet of red and yellow tulip...      1\n",
       "4    i was feeling a little vain when i did this one      0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emotions.set_format(type=\"pandas\")\n",
    "df = emotions[\"test\"][:]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "      <th>string_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>im feeling rather rotten so im not very ambiti...</td>\n",
       "      <td>0</td>\n",
       "      <td>sadness</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>im updating my blog because i feel shitty</td>\n",
       "      <td>0</td>\n",
       "      <td>sadness</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>i never make her separate from me because i do...</td>\n",
       "      <td>0</td>\n",
       "      <td>sadness</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i left with my bouquet of red and yellow tulip...</td>\n",
       "      <td>1</td>\n",
       "      <td>joy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i was feeling a little vain when i did this one</td>\n",
       "      <td>0</td>\n",
       "      <td>sadness</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label string_label\n",
       "0  im feeling rather rotten so im not very ambiti...      0      sadness\n",
       "1          im updating my blog because i feel shitty      0      sadness\n",
       "2  i never make her separate from me because i do...      0      sadness\n",
       "3  i left with my bouquet of red and yellow tulip...      1          joy\n",
       "4    i was feeling a little vain when i did this one      0      sadness"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Getting string label\n",
    "def get_string_label(row):\n",
    "    return emotions[\"train\"].features[\"label\"].int2str(row)\n",
    "\n",
    "df[\"string_label\"] = df[\"label\"].apply(get_string_label)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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